
\begin{table}[h]
\caption{Main Treatment Effects Using Weighted Regression}
\begin{center}
\begin{threeparttable}
\scalebox{0.8}{
\begin{tabular}{l@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{} D{.}{.}{3.3}@{}}
\toprule
 & \multicolumn{2}{c}{Share Concerns} & \multicolumn{2}{c}{ Attitude Idx} & \multicolumn{2}{c}{Trust} & \multicolumn{2}{c}{Empathy} & \multicolumn{2}{c}{Accountability} & \multicolumn{2}{c}{Corruption} \\
\cmidrule(lr){2-3} \cmidrule(lr){4-5} \cmidrule(lr){6-7} \cmidrule(lr){8-9} \cmidrule(lr){10-11} \cmidrule(lr){12-13}
 & \multicolumn{1}{c}{(1)} & \multicolumn{1}{c}{(2)} & \multicolumn{1}{c}{(3)} & \multicolumn{1}{c}{(4)} & \multicolumn{1}{c}{(5)} & \multicolumn{1}{c}{(6)} & \multicolumn{1}{c}{(7)} & \multicolumn{1}{c}{(8)} & \multicolumn{1}{c}{(9)} & \multicolumn{1}{c}{(10)} & \multicolumn{1}{c}{(11)} & \multicolumn{1}{c}{(12)} \\
\midrule
Treated      & 0.18 & 0.21^{*} & 0.07 & 0.02 & -0.10 & -0.06 & -0.08 & -0.05 & -0.04 & -0.03 & 0.16 & 0.10 \\
 			& (0.12) & (0.12) & (0.05) & (0.05) & (0.08) & (0.08) & (0.10) & (0.09) & (0.13) & (0.12) & (0.14) & (0.15) \\
Base Outcome & 0.27^{***}                &                           & 0.26^{***}                &                           & 0.34^{***}                &                           & 0.28^{***}                &                           & 0.43^{***}                &                           & 0.26^{***}                &                           \\
             & (0.03)                    &                           & (0.06)                    &                           & (0.05)                    &                           & (0.04)                    &                           & (0.04)                    &                           & (0.06)                    &                           \\
\midrule
Model        & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} & \multicolumn{1}{c}{Panel} & \multicolumn{1}{c}{Cross} \\
R$^2$        & 0.10 & 0.07 & 0.08 & 0.03 & 0.14 & 0.11 & 0.06 & 0.02 & 0.09 & 0.05 & 0.07 & 0.04 \\
Observations & \rlap{627}                       & \rlap{632} & \rlap{460} & \rlap{534} & \rlap{656} & \rlap{671} & \rlap{652} & \rlap{672} & \rlap{536} & \rlap{587} & \rlap{589} & \rlap{621}                       \\
Clusters     & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        & \rlap{18}                        \\
\bottomrule
\end{tabular}}
\end{center}
\begin{tablenotes}[flushleft]
\scriptsize{\item \sym{*} \(p<.10\), \sym{**} \(p<.05\), \sym{***} \(p<.01\)} 
\item Panel models include a dummy variable for missing baseline. 
\item All models include station (municipality) and rank fixed effects for the blocking variables.
\item Standard errors are clustered at the station-level.}
\end{tablenotes}
\end{threeparttable}
\label{tab:MainResults_weighted}
\end{table}
